This repository provides a detailed explanation on building one of the fastest AI chatbots using Groq Chat, powered by the revolutionary Tensor Streaming Processor (TSP) technology developed by Groq. This technology enables unparalleled processing speeds for machine learning workloads, especially for complex Natural Language Processing (NLP) tasks.
Groq Chat, built atop this cutting-edge hardware, stands out by providing real-time responses to natural language queries, making it an exceptional tool for a myriad of applications including customer service, technical support, and sales.
- Real-time responses to natural language queries
- Unparalleled processing speeds with TSP technology
- Handles a vast volume of interactions simultaneously
- User-friendly interface using Streamlit
- Integration with Large Language Model, Mixtral 8x7b
- Advanced functionalities with LangChain
Throughout this, we will delve into:
- How to utilize Streamlit to create a user-friendly interface for interacting with Groq Chat
- Integration of a Large Language Model, Mixtral 8x7b
- Leveraging LangChain for advanced functionalities
- Developing a chatbot that understands and responds to user queries with incredible speed
- Handling a vast volume of interactions simultaneously
Whether you're aiming to:
- Enhance customer engagement
- Provide swift technical support
- Boost your sales efforts through real-time interactions
This tutorial equips you with the knowledge to leverage the power of Groq's TSP technology.
- Clone this repository
- Install the required dependencies
- Follow the steps in the tutorial to set up and run your AI chatbot
git clone https://github.com/prabhakarvenkat/AI_ChatBot_with_Groq-Streamlit.git
cd AI_ChatBot_with_Groq-Streamlit
pip install -r requirements.txt
streamlit run app.py
Open your browser and go to http://localhost:8501 to interact with the chatbot.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
For any inquiries or questions, please contact prabhakar15v@gmail.com.